
The 30 ECTS Level 9 Postgraduate Certificate in Applied Artificial Intelligence in Supply Chain Management is a fully online, three-semester programme designed for forward-thinking supply chain professionals. It aims to equip participants with the skills and strategic insight needed to lead and innovate in AI-enabled supply chain management.
Structured around three specialist ten-credit modules, the programme provides a solid foundation in applying artificial intelligence tools and techniques to address real-world supply chain challenges, including demand forecasting, risk management, and circular supply chain strategies. The programme is also strongly aligned with national and EU policy goals:
• The Irish Government’s AI Here for Good (2021) strategy prioritises sector-specific AI adoption and the development of applied AI skills.
• The EU Green Deal, Digital Compass, and Circular Economy Action Plan reinforce the role of AI in building sustainable and digitally transformed supply chains.
• The National Logistics and Supply Chain Skills Group continues to highlight digitalisation and risk management as key priority areas for workforce development in Ireland.
Thus, this programme is designed to meet the urgent skills demands of a sector undergoing rapid transformation, support Ireland’s and Europe’s strategic priorities in AI and sustainability and equip professionals to lead innovation in the supply chains of the future.
The subsidised cost of this programme is €1875 from €2500
The programme is delivered and accredited by the Atlantic Technological University
CILT Mobility and Supply Chain Skillnet is co-funded by the Government of Ireland and the European Union. More information can be found at https://www.eufunds.ie
| Course Category | Artificial Intelligence, Computers & IT (Information Technology) |
| Course Type | Online Learning |
| Course Qualification | Postgraduate Certificate |
| Course Start Date | 3rd March 2026 |
| Course Duration | 3 semesters (Tuesday evenings 6.30-8.30) |
| Course Time | 6:30-8:30pm |
| Course Fee | €1875 |
| Entry Requirements | Candidates must hold a cognate level 8 Bachelor (Hons) degree with a minimum grade classification of H2.2 or equivalent. Candidates with combinations of other qualifications will be considered where experience is suitable via Recognition of Prior Learning (RPL) evaluation. |
| Career Path | On completion of this programme the learner will be able to: Critically apply machine learning algorithms to analyse historical and real-time data for accurate demand forecasting, improving inventory control and minimising stock imbalances. Evaluate and implement AI tools to identify, assess, and mitigate risks across supply chain networks, supporting continuity, agility, and resilience in the face of disruptions. Design AI-driven decision-making models that support the development of circular supply chains, enhancing sustainability, resource efficiency, and waste reduction. Integrate and synthesise AI techniques across demand forecasting, risk management, and circular supply chain operations to support end to end supply chain optimisation. Critically evaluate the strategic impact of AI applications on supply chain performance, sustainability, and risk exposure through data informed evaluation and continuous improvement. Justify AI-driven supply chain strategies through the lens of ethical integrity, legal compliance, and operational feasibility, advocating for responsible innovation and social impact. |



Level 6 Certificate in Customs Compliance and Trade Facilitation accredited by SETU.
Our GDP for Logistics Operations Online training course provides a comprehensive overview of EU GDP Guidelines.
The GDP for Transport Operations course is aimed specifically at Drivers and Warehouse personnel working within a Transport / Logistics operations and highlights specific areas in their daily roles which are impacted by GDP (Good Distribution Practice).